About GenAI Solutions
Practical engineering, visible evidence
GenAI Solutions showcases practical work in AI agents, automation and LLM integration by Raoul Biagioni, an AI engineer based in Dublin with a background in data engineering and automation.
The project showcase connects practical problems to implementations, evaluation methods and limitations. Independent prototypes and open-source tools are identified as such; they are not presented as verified client engagements.
Raoul Biagioni
Raoul’s work spans data transformations, retrieval interfaces, tool integration and agents that act through existing interfaces. Recent projects include Perceptron Phone, Claude Recall and an MCP server for Intercom.
The engineering contribution is distinguished from vendor models and frameworks. Model providers are technology suppliers, not members of a consulting team.
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A Practical Delivery Approach
A prospective engagement starts with a defined problem and a way to evaluate the work.
Understand the problem
Define the workflow, users, constraints and evidence needed to judge the result.
Build a focused system
Implement a prototype or integration with a specific scope and explicit boundaries.
Evaluate against agreed criteria
Check representative tasks and failure cases. Separate observed results from assumptions.
Document the next decision
Record findings, limitations and what would need validation before wider use.
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Describe the workflow, integration or technical question you want to explore.
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